Practical Data Analysis with SQL

Gain insights into advanced SQL data analysis techniques. Explore producing descriptive statistics, handling missing data, and analyzing time series. Discover aggregating results and preparing data for analysis.

Beginner

30 Lessons

Certificate of Completion

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Explanations

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Explanations

This course includes

144 Playgrounds

6 Quizzes

This course includes

144 Playgrounds

6 Quizzes

Course Overview

SQL databases have been around since the 1970s. Some of the smartest people in the world worked on making it easy to slice, dice, fetch and manipulate data quickly and efficiently. SQL databases have come such a long way that many developers and data scientists have lost track of what they can do with plain SQL. In this course, you will learn advanced concepts and techniques for analyzing data using SQL. You will obtain hands-on experience in producing descriptive statistics, breaking a large query into mu...Show More

TAKEAWAY SKILLS

Sql

Aggregation

Data Science

Data Cleaning

Database

What You'll Learn

Familiarity with advanced concepts and techniques for analyzing data using SQL

The ability to generate random data for training and benchmarking

Familiarity with datasets through descriptive statistics and histograms

Working knowledge of binning techniques and time series analysis

The ability to produce cumulative aggregation, subtotals, cubes, pivot tables, and data summaries for analysis

The ability to clean and prepare data with interpolation and linear regression

What You'll Learn

Familiarity with advanced concepts and techniques for analyzing data using SQL

Course Content

Introduction

Get familiar with SQL's history, standards, and basics for effective data analysis.

Introduction

Basic SQL for Data Analysis

Get started with basic SQL query structure, data generation, and creating CTEs for analysis.

Anatomy of an SQL query Common Table Expressions Generating Data Exercise: Generate a Date Dimension Random Data Sampling

Example: Train/Test Split with SQL Quiz: Basic SQL for Data Analysis

Descriptive Statistics

Examine descriptive statistics using SQL for numerical and categorical series analysis.

Describing a Series Describing a Categorical Series Quiz: Descriptive Statistics

Grouping and Subtotals

Apply your skills to aggregate, analyze, and generate detailed subtotals using SQL techniques.

Grouping Conditional Aggregates Subtotals Quiz: Grouping and Subtotals

Running and Cumulative Aggregation

Dig deeper into running and cumulative aggregation techniques using SQL window functions.

Aggregate Expressions Window Frames Next and Previous Rows Ranking Quiz: Running and Cumulative Aggregation

Interpolation

4 Lessons

Focus on handling missing values, filling techniques, and linear interpolation for data accuracy.

Binning

4 Lessons

Approach data binning, including equal-height and equal-width techniques, for effective categorization.

Conclusion

1 Lesson

Sharpen your skills in using SQL for comprehensive data analysis and real-world challenges.

Course Author

Show License and Attributions

Trusted by 1.4 million developers working at companies

Anthony Walker

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Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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